Os pesquisadores pediram a 79 adultos que escolhessem entre dois alimentos - alguns dos quais eram sauda¡veis ​​e outros não - como uma forma de saber mais sobre como decidimos quais alimentos comer e comprar.
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)
Domanio paºblico
Levamos menos de meio segundo, em média, para decidir se um alimento tem um gosto bom, mas o dobro do tempo para decidir o quanto sauda¡vel ele anã, de acordo com uma nova pesquisa do Departamento de Administração da LSE.
O artigo, publicado na Nature Human Behavior , explica por que a s vezes deixamos de ser autocontrolados quando se trata de alimentos não sauda¡veis ​​- nosso cérebro processa o quanto sauda¡vel um alimento émais lento do que processa o quanto saboroso ele anã.
Os pesquisadores pediram a 79 adultos que escolhessem entre dois alimentos - alguns dos quais eram sauda¡veis ​​e outros não - como uma forma de saber mais sobre como decidimos quais alimentos comer e comprar. Cada adulto teve que escolher entre dois alimentos diferentes 300 vezes.
O estudo, realizado pela Dra. Nicolette Sullivan London School of Economics and Political Science e Professor Scott Huettel da Duke University na Carolina do Norte, descobriu que levamos metade do tempo para decidir o quanto saboroso um alimento éem comparação com o tempo que leva para decidir como ésauda¡vel.
Os pesquisadores dizem que as descobertas mostram que devemos demorar mais para decidir qual comida escolher nos restaurantes e não devemos nos sentir apressados ​​por gara§ons e gara§onetes que são devem vir para as mesas quando os clientes dizem que estãoprontos.
A Dra. Nicolette Sullivan, que éProfessora Assistente de Marketing da LSE e principal autora do artigo, diz: "Nossas descobertas sugerem que muitas vezes não énossa culpa se dermos alimentos não sauda¡veis ​​- nosso cérebro ésimplesmente mais lento no processamento de quanto sauda¡veis a comida écomparada ao seu sabor. Podemos muito bem saber o quanto um alimento ésauda¡vel ou não, mas nosso cérebro pensa primeiro sobre o sabor do alimento.
"Isso significa que podemos comer um biscoito, não porque o desejo por um lanche saboroso supere nossa força de vontade limitada, mas porque as informações sobre as consequaªncias futuras de comer aquele biscoito para a saúde não entram em nosso processo de decisão suficientemente cedo para influenciar as escolhas que fazemos . Podemos já ter decidido comer o biscoito quando nosso cérebro comea§a a pensar em como ele éprejudicial a saúde. Acabamos fazendo escolhas prejudiciais porque demoramos muito para processar a informação sobre se um alimento ésauda¡vel .
"Tambanãm descobrimos que as pessoas que demoram mais para decidir o que comer acabam fazendo escolhas mais sauda¡veis. Na verdade, mesmo aqueles que geralmente fazem escolhas não sauda¡veis ​​fara£o a melhor escolha quando demorarem mais. Isso porque demorar mais permite que mais devagar- informações de saúde processadas uma chance de ter uma palavra a dizer.
"Esta pesquisa nos da¡ uma ideia de como podemos manipular nosso pensamento para considerar escolhas sauda¡veis ao mesmo tempo - ou logo depois - pensarmos sobre o sabor. Se tivermos mais tempo para pensar sobre os alimentos que vamos pedir um restaurante, e se tivermos uma descrição mais clara de quanto sauda¡vel éuma refeição em restaurante antes de escolhaª-la, nosso cérebro processara¡ mais facilmente as informações sobre o quanto sauda¡vel éa comida . "
Os pesquisadores também observaram que estudos sobre o tempo dos processos de decisão sera£o importantes para intervenções que podem ajudar as pessoas a tomarem melhores decisaµes.
O coautor do estudo, Dr. Scott Huettel, professor de psicologia e Neurociênciada Duke University, afirma: "Amedida que aprendemos mais sobre como e quando diferentes tipos de informação entram nos mecanismos cerebrais para a tomada de decisão, podemos usar esse conhecimento para moldar o real - situações mundiais para que as pessoas possam usar todas as informações disponíveis - potencialmente ajudando-as a tomar decisaµes que são melhores para sua saúde ou bem-estar pessoal. "